基于差分进化算法的雷达辐射源识别研究

摘要

研究雷达辐射源识别优化问题,由于各种噪声影响,使信号不清.差分进化算法是一种有效的寻找函数极值的演化计算方法,具有简单和鲁棒性强的优点.为了准确识别雷达辐射信号,提出一种差分进化算法的雷达辐射源识别方法,采用模式匹配的雷达辐射源识别模型,进行参数选择,并给出了具体的实现算法.仿真结果表明,采用差分进化算法能近似最优地实现对所提识别模型的参数估计,能够有效地提取雷达辐射源数据中有用信息,成功排除噪声干扰,取得良好的识别效果.研究内容可供开展雷达辐射源数据识别应用参考.%differential evolution ( DE) is an effective evolutionary method used to search the function exterme. It is simple as well as strongly robust. From the view of optimization, a radar radiation source recongnition based on DE was presented in this paper. Using DE, the parameter estimation of pattern match recogniton was solved. Simulation result shows that the modified DE can successfully estimate the parameters of the presented recognition in a approxi-mately optimal way. It obtaines the effective information from the radiation data and removes the noise disturbance and obtains the favorable results.